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The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe…

Populations and Evolution · Quantitative Biology 2024-08-20 Zi Hian Tan , Kian Yan Yong , Jian-Jun Shu

The question of how SARS-CoV-2 is transmitted remains surprisingly controversial today, especially with reference to airborne transmission. In fact, despite a large body of scientific evidence, health and regulatory authorities still…

Medical Physics · Physics 2021-10-07 G. Buonanno , A. Robotto , E. Brizio , L. Morawska , A. Civra , F. Corino , D. Lembo , G. Ficco , L. Stabile

Researchers worldwide are seeking to repurpose existing drugs or discover new drugs to counter the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A promising source of candidates for such studies is…

Computation and Language · Computer Science 2021-01-13 Zhi Hong , J. Gregory Pauloski , Logan Ward , Kyle Chard , Ben Blaiszik , Ian Foster

Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames. While such approaches have led to significant…

Originating in Wuhan, the novel coronavirus, severe acute respiratory syndrome 2 (SARS-CoV-2), has astonished health-care systems across globe due to its rapid and simultaneous spread to the neighboring and distantly located countries. To…

Populations and Evolution · Quantitative Biology 2020-06-30 Vikram Singh , Vikram Singh

Despite the availability of effective vaccines, the persistence of SARS-CoV-2 suggests that co-circulation with other pathogens and resulting multi-epidemics may become increasingly frequent. To better forecast and control the risk of such…

We present Thinking with Generated Images, a novel paradigm that fundamentally transforms how large multimodal models (LMMs) engage with visual reasoning by enabling them to natively think across text and vision modalities through…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Ethan Chern , Zhulin Hu , Steffi Chern , Siqi Kou , Jiadi Su , Yan Ma , Zhijie Deng , Pengfei Liu

In December 2019, a novel virus called COVID-19 had caused an enormous number of causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the Spanish Flu 2019. While the front-line doctors and medical…

Machine Learning · Computer Science 2023-03-30 MD Abdullah Al Nasim , Aditi Dhali , Faria Afrin , Noshin Tasnim Zaman , Nazmul Karimm , Md Mahim Anjum Haque

The clinical spectrum of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain of coronavirus that caused the COVID-19 pandemic, is broad, extending from asymptomatic infection to severe immunopulmonary reactions that, if…

Quantitative Methods · Quantitative Biology 2022-07-18 Aaron Wang , Feng Li , Samantha Chiang , Jennifer Fulcher , Otto Yang , David Wong , Fang Wei

In this study, a dataset of X-Ray images from patients with common pneumonia, Covid-19, and normal incidents was utilized for the automatic detection of the Coronavirus. The aim of the study is to evaluate the performance of…

Image and Video Processing · Electrical Eng. & Systems 2020-06-15 Ioannis D. Apostolopoulos , Tzani Bessiana

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in…

Human-Computer Interaction · Computer Science 2020-03-17 Thomas Kerdreux , Louis Thiry , Erwan Kerdreux

Current Neural Radiance Fields (NeRF) can generate photorealistic novel views. For editing 3D scenes represented by NeRF, with the advent of generative models, this paper proposes Inpaint4DNeRF to capitalize on state-of-the-art stable…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Han Jiang , Haosen Sun , Ruoxuan Li , Chi-Keung Tang , Yu-Wing Tai

To mitigate the SARS-CoV-2 pandemic, officials have employed social distancing and stay-at-home measures, with increased attention to room ventilation emerging only more recently. Effective distancing practices for open spaces can be…

Physics and Society · Physics 2020-08-20 Eric G. Blackman , Gourab Ghoshal

The need to understand how infection spreads to the deep lung was acutely realized during the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pandemic. The challenge of modeling virus laden aerosol transport and deposition in…

Image inpainting is one of the important tasks in computer vision which focuses on the reconstruction of missing regions in an image. The aim of this paper is to introduce an image inpainting model based on Wasserstein Generative…

Computer Vision and Pattern Recognition · Computer Science 2021-09-16 Daniel Vašata , Tomáš Halama , Magda Friedjungová

In recent years, groundbreaking advancements in Generative Artificial Intelligence (GenAI) have triggered a transformative paradigm shift, significantly influencing various domains. In this work, we specifically explore an integrated…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Felipe Rodrigues Perche-Mahlow , André Felipe-Zanella , William Alberto Cruz-Castañeda , Marcellus Amadeus

The astonishing growth of generative tools in recent years has empowered many exciting applications in text-to-image generation and text-to-video generation. The underlying principle behind these generative tools is the concept of…

Machine Learning · Computer Science 2025-01-09 Stanley H. Chan

Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challenge, limiting practical usage of most existing methods. In…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Yizhi Song , Zhifei Zhang , Zhe Lin , Scott Cohen , Brian Price , Jianming Zhang , Soo Ye Kim , He Zhang , Wei Xiong , Daniel Aliaga

The development of text-to-image (T2I) generative models, that enable the creation of high-quality synthetic images from textual prompts, has opened new frontiers in creative design and content generation. However, this paper reveals a…

Computer Vision and Pattern Recognition · Computer Science 2025-01-23 Zonglei Jing , Zonghao Ying , Le Wang , Siyuan Liang , Aishan Liu , Xianglong Liu , Dacheng Tao

The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate.…

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